Literature DB >> 27054927

Evaluation and Management of Ultrasonographically Detected Ovarian Tumors in Asymptomatic Women.

John Rensselaer van Nagell1, Rachel Ware Miller.   

Abstract

Data from screening trials indicate that a significant percent of asymptomatic women older than 50 years of age will develop ovarian abnormalities that are detectable by ultrasonography. Most of these abnormalities are benign, and many will resolve spontaneously. However, the risk of ovarian cancer, particularly in postmenopausal women, is of concern. The goal is to use a diagnostic and treatment algorithm that will reliably detect ovarian cancer at the earliest possible stage while limiting the number of women undergoing surgery for benign disease. The combination of morphology indexing and serum biomarker analysis can accurately predict the risk of malignancy in most ovarian tumors. Ovarian tumors with cystic or septate morphology are at minimal risk of malignancy and can be followed with serial ultrasonography evaluations, thereby avoiding the morbidity and cost of surgery. Complex or solid ovarian tumors with a high morphology index score, or those with increasing biomarker production, are at a high risk of malignancy, and patients with these tumors should be referred to a gynecologic oncologist for further evaluation and treatment.

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Year:  2016        PMID: 27054927     DOI: 10.1097/AOG.0000000000001384

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  10 in total

1.  Risk of Malignant Ovarian Cancer Based on Ultrasonography Findings in a Large Unselected Population.

Authors:  Rebecca Smith-Bindman; Liina Poder; Eric Johnson; Diana L Miglioretti
Journal:  JAMA Intern Med       Date:  2019-01-01       Impact factor: 21.873

Review 2.  Ten Important Considerations for Ovarian Cancer Screening.

Authors:  Edward J Pavlik
Journal:  Diagnostics (Basel)       Date:  2017-04-13

3.  Ovarian Cancer Incidence Corrected for Oophorectomy.

Authors:  Lauren A Baldwin; Quan Chen; Thomas C Tucker; Connie G White; Robert N Ore; Bin Huang
Journal:  Diagnostics (Basel)       Date:  2017-04-01

Review 4.  Ultrasound Monitoring of Extant Adnexal Masses in the Era of Type 1 and Type 2 Ovarian Cancers: Lessons Learned From Ovarian Cancer Screening Trials.

Authors:  Eleanor L Ormsby; Edward J Pavlik; John P McGahan
Journal:  Diagnostics (Basel)       Date:  2017-04-28

5.  Investigation of treatment efficacy of 10% povidone–iodine sclerotherapy on ovarian cyst diameter: an experimental study

Authors:  Remzi Atılgan; Şehmus Pala; Tuncay Kuloğlu
Journal:  Turk J Med Sci       Date:  2019-06-18       Impact factor: 0.973

6.  [Usefulness and reliability of abdominal point of care ultrasound in family practice (2): Large abdominal vessels, spleen, nephrourological and gynecological ultrasound].

Authors:  Ignacio Manuel Sánchez Barrancos; Francisco José Guerrero García; María Del Carmen Rico López; Vicente Fernández Rodríguez; Tomás Vegas Jiménez; Rafael Alonso Roca; Daniel Domínguez Tristancho
Journal:  Aten Primaria       Date:  2018-05-30       Impact factor: 1.137

7.  A Novel Classifier Based on Urinary Proteomics for Distinguishing Between Benign and Malignant Ovarian Tumors.

Authors:  Maowei Ni; Jie Zhou; Zhihui Zhu; Jingtao Yuan; Wangang Gong; Jianqing Zhu; Zhiguo Zheng; Huajun Zhao
Journal:  Front Cell Dev Biol       Date:  2021-08-30

8.  Complications from Surgeries Related to Ovarian Cancer Screening.

Authors:  Lauren A Baldwin; Edward J Pavlik; Emma Ueland; Hannah E Brown; Kelsey M Ladd; Bin Huang; Christopher P DeSimone; John R van Nagell; Frederick R Ueland; Rachel W Miller
Journal:  Diagnostics (Basel)       Date:  2017-03-08

9.  Radiomic Analysis of MRI Images is Instrumental to the Stratification of Ovarian Cysts.

Authors:  Roxana-Adelina Lupean; Paul-Andrei Ștefan; Diana Sorina Feier; Csaba Csutak; Balaji Ganeshan; Andrei Lebovici; Bianca Petresc; Carmen Mihaela Mihu
Journal:  J Pers Med       Date:  2020-09-14

10.  Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors.

Authors:  Fuxia Xiao; Lin Zhang; Sihua Yang; Kun Peng; Ting Hua; Guangyu Tang
Journal:  J Ovarian Res       Date:  2022-01-22       Impact factor: 4.234

  10 in total

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